In Systems We Trust
Computing has advanced to the point where users are often not even aware of the systems they implicitly trust, much less whether those systems deserve that trust. This acceptance puts the onus on suppliers to deal with trust in ways that haven’t been expected of them in the past. Designing systems that actually merit trust is critical to living up to user expectations, and continued systems innovation.
In this talk, I’ll describe several projects that Galois, a R&D company based in Portland, has done for our clients. I’ll describe our tools for formal verification of imperative code, and how we have applied them to successfully verify a high-performance implementation of a digital signature implementation based on elliptic curves. I’ll also describe recent work on virtualization in mobile phones, higher assurance UAV control software, and recent applications of computing on encrypted data.
These projects have divergent goals and technology approaches, but each is related to trusted systems. I hope to provide a grounded picture of the role of trust in systems, and foster discussion about how different lines of research connect to overarching goals of building trusted and trustworthy systems.
Speaker Bios
Joe Hendrix works on formal analysis and verification tools at Galois, Inc. He worked for the Microsoft Security Engineering Center in 2009. He received his PhD from the University of Illinois in 2008.
- Séries:
- Microsoft Research Talks
- Date:
- Haut-parleurs:
- Joe Hendrix
- Affiliation:
- Galois
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Jeff Running
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Taille: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
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Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
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Current and Future Application of BCIs
Speakers:- Christoph Guger
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
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Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
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'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
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Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
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Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
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